Amazon Comprehend Medical

Today this is achieved by writing and maintaining a set of customized rules for natural language processing software, which are complicated to build, time-consuming to maintain, and fragile. A change to a single classification code name can impact dozens of hard-coded rules and failing to update a single one of them can result in missed or incorrect data. Machine learning can eliminate the risk with models that reliably understand the medical information in unstructured text, identify meaningful relationships, while continuously improving over-time. Amazon Comprehend Medical uses advanced machine learning models to accurately and quickly identify medical information, such as medical conditions and medications, and determines their relationship to each other, for instance, medicine dosage and strength. Amazon Comprehend Medical can also link the detected information to medical ontologies such as ICD-10-CM or RxNorm.